ML Anthology

Dynamic Regime Identification and Prediction Based on Observed Behavior in Electronic Marketplaces

Wolfgang Ketter
AAAI 2005 pp. 1646-1647
/aaai/2005/ketter2005aaai-dynamic/

Abstract

We present a method for an autonomous agent to identify dominant market conditions, such as oversupply or scarcity. The characteristics of economic regimes are learned from historic data and used, together with real-time observable information, to identify the current market regime and to forecast market changes. The approach is validated with data from the Trading Agent Competition for Supply Chain Management.

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Cite

Text

Ketter. "Dynamic Regime Identification and Prediction Based on Observed Behavior in Electronic Marketplaces." AAAI Conference on Artificial Intelligence, 2005.

Markdown

[Ketter. "Dynamic Regime Identification and Prediction Based on Observed Behavior in Electronic Marketplaces." AAAI Conference on Artificial Intelligence, 2005.](https://mlanthology.org/aaai/2005/ketter2005aaai-dynamic/)

BibTeX

@inproceedings{ketter2005aaai-dynamic,
  title     = {{Dynamic Regime Identification and Prediction Based on Observed Behavior in Electronic Marketplaces}},
  author    = {Ketter, Wolfgang},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2005},
  pages     = {1646-1647},
  url       = {https://mlanthology.org/aaai/2005/ketter2005aaai-dynamic/}
}